The interest on percolation is renewed with the advent of modern network theory [1]}. A network, broadly construed, is a set of nodes with arbitrary connections among them, contrary to lattices, that are regular structures embedded in spaces of finite dimension, with all of their nodes having the same number of edges, i.e., same degree. In this context, the fraction of removed nodes are usually thought of as failures or attacks, and the largest connected component after the perturbation has a functional interpretation, assumed to be the part of the network that is still operative. Therefore, percolation in this type of topologies has brought a deeper understanding on the robustness and resilience of real-world networked systems [2]}, [3]}, [4]}, [5]}, as well as, from a fundamental perspective, it has provided new analytical techniques [6]}, [7]} and interesting phenomenology from the standpoint of statistical physics [8]}, [9]}, [10]}, [11]}.
